psAve
1.0.1Model-Averaged Propensity Scores Selected by Prognostic-Score Balance
Overview
Constructs a model-averaged propensity score as a convex combination of candidate propensity score models, with mixing weights selected on a simplex grid to optimize covariate or prognostic-score balance, implementing the method of Kabata, Stuart and Shintani (2024) doi:10.1186/s12874-024-02350-y. Prognostic scores follow Hansen (2008) doi:10.1093/biomet/asn004: outcome models are fit on untreated units only. The resulting score is designed to be supplied directly to the matchit() function of 'MatchIt' as a distance measure or to the weightit() function of 'WeightIt' as a propensity score, with balance assessment via 'cobalt'.
Install
Health
- OK2026-08-0513 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
- NOTE2026-08-0112 OK · 1 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
- OK2026-07-118 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
Documentation
- Examples that run
- 100%
- Documented parameters
- 100%
- Return-value docs
- 100%
- References docs
- 46%
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Repository
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Repository github.com/kabajiro/psave is linked, but repository-practices checks have not run for it yet.
Dependencies
Code & Tests
People & History
1 release. R releases are shown for context.
- 1.0.1Latest2026-07-11 · current release
- RR 4.6.0 released · 2026-04-24
Package metadata
- First published
- 2026-07-11
- Total releases
- 1 / 1 yrs
- License
- GPL (>= 2) OSI
- Minimum R
- ≥ 4.1
- Download size
- not tracked yet
- Installed size
- not tracked yet
- With dependencies
- not tracked yet
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